Research for Management (Theory)

Paper Code: 
24MTM124
Credits: 
04
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to apply the steps of a research process for solving problems related to managerial decision making.

 

Course Outcomes: 

Course

Learning outcome (at course level)

Learning and teaching strategies

Assessment Strategies

Course Code

Course title

24MTM124

Research for Management (Theory)

CO19: Distinguish between various types of research, types of research design and explore the process of Research

CO20: Distinguish between the types of scales, apply scaling techniques and evaluate various Primary and Secondary methods of data collection

CO21: Design a questionnaire, apply sampling techniques and summarize data using descriptive statistics.

CO22: Develop a hypothesis and evaluate it using various statistical tests.

CO23:  Apply               ANOVA   for Hypothesis       testing            and construct a research report

CO24: Contribute effectively in course-specific interaction

Approach       in teaching: Interactive Lectures,

Group Discussion, Tutorials, Case Study

 

Learning activities for the students: Self-learning assignments, presentations

Continuous Assessment Test, Semester end examinations, Quiz, Assignments, Presentation

 

12.00
Unit I: 

Introduction to Resaerch  Research: Definition, characteristics, Approaches-Deduction, Induction, Types of Research,

Research Process.Research Design: Meaning, Features of a good research design. Types of Research

Design- Exploratory, Descriptive and Experimental studies

 

12.00
Unit II: 

Measurement Scales & Data Collection

Measurement Scales-Types of scales- Nominal, Ordinal, Interval and Ratio scales, Scaling

Techniques: Comparative and Non-comparative scaling

Data Collection: Primary and Secondary Data-Methods of collecting data

 

12.00
Unit III: 

Questionnaire Design, Sampling and Data Analysis-I

Questionnaire Design-Objectives, hierarchy of Questions, Process, Lay out, Pilot testing Sampling

Design-Meaning of sample and population, Sampling techniques, sample size calculation Preliminary

data analysis- Descriptive statistics- Measures of central tendency (Mean, Mode, Median), Measures

 of Dispersion (Variance, Standard Deviation, Range) [Applied Knowledge only)

 

12.00
Unit IV: 

Data Analysis II

Hypothesis testing- process, student’s T test, Z test, Chi Square test

Correlation and Regression- Meaning, difference, Assumptions of regression, Regression equation-

interpretation and its application

 

12.00
Unit V: 

 Data Analysis III & Report Writing

Analysis of Variance (ANOVA)- One-way and two-way classification.Report Writing:

Importance, Process, qualities of a Research report, Report layout

 

Essential Readings: 

Essential Readings:

  • H K Dangi, Shruti Dewen, Business Research Methods, Cengage Learning
  • Naresh Malhotra, Marketing Research, Pearson Education.

 

References: 

Suggested Readings: -

  • Anderson, Statistics for Business and Economics, Sweeney and Williams
  • C.R.Kothari, Research Methodology, New Age Publication.
  • Cooper & Schindler, Marketing Research, Tata McGraw Hill.
  • G C Beri, Marketing Research, Tata McGraw Hill.
  • Levin & Rubin, Statistics for Management, Pearson.
  • Naval Bajpai, Marketing Research: An Indian Perspective, Pearson
  • Sancheti & Kapoor, Statistics: Theory, Methods and Application, Sultan Chand & Sons
  • William G Zikmund, Business Research Methods, Cengage learning

E-resources:

  • Marketing Research, 7/e (Revised) Malhotra, Elibrary.in.pearson.com
  • Marketing Research, Bajpai, Elibrary.in.pearson.com
  • Research Methodology, 1e Chandra, Elibrary.in.pearson.com
  • Research Methods for Business Students, 5e Saunders, Elibrary.in.pearson.com

Journals:

  • Asian Journal of Management Cases
  • Business Perspectives and Research
  • International Journal of Financial Management
  • Journal of Strategic Human Resource Management
  • Metamorphosis A Journal of Management Research
  • South Asian Journal of Human Resources Management
  • Vikalpa

 

Academic Year: